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Hospital readmission prediction based on improved feature selection using grey relational analysis and LASSO

This paper develops a robust hospital readmission prediction framework by combining the feature selection algorithm and machine learning (ML) classifiers. The improved feature selection is proposed by considering the uncertainty in patient's attributes that leads to the output variable. Design/...

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書誌詳細
主要な著者:	Miswan, Nor Hamizah, Chan, Chee Seng, Ng, Chong Guan
フォーマット:	論文
出版事項:	Emerald Group Publishing 2021
主題:	QA75 Electronic computers. Computer science Medical technology
オンライン･アクセス:	http://eprints.um.edu.my/35367/
タグ:	タグ追加タグなし, このレコードへの初めてのタグを付けませんか!

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